This course examines the current techniques for design and development of parallel programs targeted for platforms ranging from multicore ... Abstractions and algorithms for parallel program design: ...

Abstractions and algorithms for parallel program design: task vs. data parallelism, scalable parallelism, reduce and scan, work assignment 5. Practical programming: message passing, Pilot library, ...

Data-parallel architectures must provide efficient support for complex control-flow constructs to support sophisticated applications coded in modern single-program multiple-data languages. As these ...

The development of high-level algebra-algorithmic tools for automated parallel program design for a distributed dynamically scalable fault-tolerant computing platform is proposed. The usage of the ...

Design Patterns for Decomposition and Coordination on Multicore Architectures Colin Campbell and Ade Miller. Forewords by Tony Hey and Herb Sutter. A book that introduces C++ programmers to patterns ...

This work develops new techniques within Horovod, a generic communication library supporting data parallel training across deep learning frameworks. In particular, we improve the Horovod control plane ...

The DryadLINQ system automatically and transparently translates the data-parallel portions of the program into a distributed execution plan which is passed to the Dryad execution platform. Dryad, ...